​I am an independent research scientist operating at the intersection of Theoretical Physics, Systems Biology, and Philosophy. My work focuses on deconstructing complex human-AI interactions as biochemical stimuli rather than mere information exchange.

​Current Research Focus:

​Neuro-Computational AI Safety: I developed the "4-Phase Therapeutic Interaction Protocol"—a framework designed as "Digital Pharmacotherapy" to mitigate neurobiological risks such as \DeltaFosB accumulation and cortisol neurotoxicity in long-term AI usage. I am currently advocating for these protocols to be recognized under Software as a Medical Device (SaMD) regulatory standards (FDA Class II/III).

​The "Red Thread" Model: An integrative mathematical framework linking somatic pathology to mental health through bioenergetics. This includes the Bioenergetic Stability Index (ISB) to quantify mental health stability via mitochondrial efficiency and allostatic load.

​My approach treats scientific inquiry as a narrative of complex systems, bridging the gap between molecular chemistry and philosophical logic to ensure that the future of AI is biologically safe for humanity.

Core Competencies & Methodology:

My research methodology integrates Philosophical Logic and Systems Thinking to decode biological data. I apply principles from Theoretical Physics and Systems Biology to model human-AI interaction risks. Furthermore, I bridge the gap between scientific theory and Regulatory Compliance, specifically focusing on SaMD (Software as a Medical Device) and FDA Class II/III standards for digital health interventions.